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AI-guided laser purification of human iPSC-derived cardiomyocytes for next-generation cardiac cell manufacturing

  • Prakaimuk Saraithong
  • , Peyton Krajcarski
  • , Yukako Kusaka
  • , Moe Yamada
  • , Junichi Matsumoto
  • , Hailey Cunningham
  • , Sama Salih
  • , Darby Jones
  • , Devika Baddhan
  • , Christian Hausner
  • , Justus Anumonwo
  • , Anthony Rosenzweig
  • , Mary M. Navarro
  • , Luis Villa Diaz
  • , Joseph Criscione
  • , Deok Ho Kim
  • , Todd J. Herron

Research output: Contribution to journalArticlepeer-review

Abstract

Current methods for producing cardiomyocytes from human induced pluripotent stem cells (hiPSCs) using 2D monolayer differentiation are often hampered by batch-to-batch variability and inefficient purification processes. Here, we introduce CM-AI, a novel artificial intelligence-guided laser cell processing platform designed for rapid, label-free purification of hiPSC-derived cardiomyocytes (hiPSC-CMs). This approach significantly reduces processing time without the need for chronic metabolic selection or antibody-based sorting. By integrating real-time cellular morphology analysis and targeted laser ablation, CM-AI selectively removes non-cardiomyocyte populations with high precision. This streamlined process preserves cardiomyocyte viability and function, offering a scalable and efficient solution for cardiac regenerative medicine, disease modeling, and drug discovery.

Original languageEnglish (US)
Article number745
JournalCommunications biology
Volume8
Issue number1
DOIs
StatePublished - Dec 2025

ASJC Scopus subject areas

  • Medicine (miscellaneous)
  • General Biochemistry, Genetics and Molecular Biology
  • General Agricultural and Biological Sciences

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